Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Issu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
| Main Authors: | Tjakrawala, F.X. Kurniawan, Arvan, Gregorius |
|---|---|
| Format: | Proceeding application/pdf |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
http://repository.uksw.edu/handle/123456789/5944 |
Daftar Isi:
- 3rd Economics & Business Research Festival. Proceeding Seminar &Call For Papers : Business Dynamics Toward Competitive Economic Region Of Asean (Salatiga : 2014), p. 1985 - 1899
- Facing the growing environmental issues in management accounting field, this study explored the recently topic of environmental management control system issue which has't been conducted by Indonesian's researcher in accounting. This point underlined the state of the art of this study. The purpose of this study is to predict the effect of perceived factors related to environmental issues such as perceived ecological uncertainty; the degree of environmental proactivity; and stakeholders pressure that affected environmental management control systems. Primary data collection of survey method was done by releasing 325 sets of questionnaires and addressed to the managerial level of respondents who work in the ten of manufacturing companies listed on the Jakarta Stock Exchange of IDX factbook, with the response rate of 19,70%. The collection of valid data initially were analyzed using PASW v.18 package. This study implements a latent-path modeling. Due to relatively few sample (N=64), this study did not allow covariance-based SEM to be applied in testing the hypotheses. So then the three hypotheses of this study were tested by the technique of Partial Least Squares (PLS) using SmartPLS v.2 package, which applied the component-based SEM approach. The results of hypotheses test empirically proved able to predict that all of these environmental issues positively influenced the environmental management control systems significantly. In the future, similar study still probably to be developed (in Indonesia) based on Covariance-based SEM to gain the clear theoretically confirmation.